Method of fingerprint and voiceprint based decision level fusion recognition

Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voicepr...

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Main Authors: Jianwu ZHANG, Jiajia YANG, Zhendong WU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2018-03-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/
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author Jianwu ZHANG
Jiajia YANG
Zhendong WU
author_facet Jianwu ZHANG
Jiajia YANG
Zhendong WU
author_sort Jianwu ZHANG
collection DOAJ
description Because of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2018-03-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-6cfbd789abbd42bca40b955a0b8167812025-01-15T03:04:58ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-03-0134324059596312Method of fingerprint and voiceprint based decision level fusion recognitionJianwu ZHANGJiajia YANGZhendong WUBecause of strong complementarity in the recognition environment and the low correlation characteristics of the two features,a fingerprint and voiceprint based decision level fusion recognition method was proposed.After extracting the features and recognition of corresponding fingerprint and voiceprint,the second comparison of choosing model (SCCM) was used to classify at the decision-making level and judge whether to enable voiceprint recognition according to the category,reduced the average data processing volume of the dual-mode fushion system by 32.8%.Experiments applied to FVC2002DB1 fingerprint library and self-collecting voiceprint library.The experimental results show that the multi-biometrics fusion effectively solves the single-modal recognition limitation and the recognition rate improves nearly 5.08% and 4.60% as well as get a more stable system.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/multi-biometrics systemfeature selectionsecond comparison of choosing modeldecision-making level
spellingShingle Jianwu ZHANG
Jiajia YANG
Zhendong WU
Method of fingerprint and voiceprint based decision level fusion recognition
Dianxin kexue
multi-biometrics system
feature selection
second comparison of choosing model
decision-making level
title Method of fingerprint and voiceprint based decision level fusion recognition
title_full Method of fingerprint and voiceprint based decision level fusion recognition
title_fullStr Method of fingerprint and voiceprint based decision level fusion recognition
title_full_unstemmed Method of fingerprint and voiceprint based decision level fusion recognition
title_short Method of fingerprint and voiceprint based decision level fusion recognition
title_sort method of fingerprint and voiceprint based decision level fusion recognition
topic multi-biometrics system
feature selection
second comparison of choosing model
decision-making level
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018130/
work_keys_str_mv AT jianwuzhang methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition
AT jiajiayang methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition
AT zhendongwu methodoffingerprintandvoiceprintbaseddecisionlevelfusionrecognition